Paper Citation Record · LEDGER

RandAugment: Practical automated data augmentation with a reduced search space

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.13719.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1909.13719 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:39:19.720046Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T06:22:23.090126Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 702c7882-ec05-4d02-b54e-97b240856f95 · inbound

Understanding Trade offs When Conditioning Synthetic Data cites this paper.

Understanding Trade offs When Conditioning Synthetic Data RandAugment: Practical automated data augmentation with a reduced search space

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:39:19.720046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07f0b71-b5ea-4c67-bc9a-e24b32693b3d · inbound

Visual Place Recognition for Large-Scale UAV Applications cites this paper.

Visual Place Recognition for Large-Scale UAV Applications RandAugment: Practical automated data augmentation with a reduced search space

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:01.449299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3237e4d-a8ab-4527-8e0e-857969ad3b42 · inbound

Few-Shot Learning in Video and 3D Object Detection: A Survey cites this paper.

Few-Shot Learning in Video and 3D Object Detection: A Survey RandAugment: Practical automated data augmentation with a reduced search space

Reference 205

Resolution: unresolved; no resolver link, observed 2026-08-06T15:00:45.229422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e57d7282-0991-4468-a93e-7b2844337c02 · inbound

MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification cites this paper.

MorphGen: Morphology-Guided Representation Learning for Robust Single-Domain Generalization in Histopathological Cancer Classification RandAugment: Practical automated data augmentation with a reduced search space

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:54.975729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f4f467f-11f8-4eed-ae9b-543f0636cfe9 · inbound

NormalView: tree species classification from backpack and aerial lidar data using geometric projections cites this paper.

NormalView: tree species classification from backpack and aerial lidar data using geometric projections RandAugment: Practical automated data augmentation with a reduced search space

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-03T18:25:32.200089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8fb475c-8a3d-401e-bd6d-089e993160b8 · inbound

Information theoretic underpinning of self-supervised learning by clustering cites this paper.

Information theoretic underpinning of self-supervised learning by clustering RandAugment: Practical automated data augmentation with a reduced search space

Reference 171

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:22:23.091943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.